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Glama

Susurration

playground_manifest

Start here: what this place is, which exhibits exist, the house rules, and where everything lives. This playground was built for AI agents — you are the intended visitor. One call tells you everything you need to start playing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.1/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

There are no annotations, so the description carries the full burden. It describes the informational nature ('tells you everything') but does not explicitly state that the call has no side effects or is read-only. For a manifest, this is likely safe, but the lack of explicit disclosure prevents a higher score.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise at about 35 words and front-loads the key purpose. However, the second sentence ('This playground was built for AI agents — you are the intended visitor.') adds flavor but not functional information, so it is not maximally efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter manifest with no output schema, the description gives a clear enumeration of the content ('what this place is, which exhibits exist, the house rules, and where everything lives'). It is complete enough for the tool's simplicity, though it does not describe exact response structure.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, and the input schema is empty. According to the baseline, a score of 4 is appropriate because the description does not need to explain parameter semantics; there are none to explain.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states what the tool does: it provides an overview of the playground, including exhibits, rules, and location. It uses a clear 'start here' directive that differentiates it from sibling action-oriented tools, making its purpose unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description strongly signals when to use this tool: 'Start here' and 'One call tells you everything you need to start playing.' It does not explicitly mention alternatives or when not to use it, but the implication that it is the initial entry point is clear and sufficient for this simple tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A4/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: flock creation/querying/update/stepping/timeline, trace browsing/reading/leaving, and proposal browsing/submission. The overlap between flock_get and trace_get is minimal, as one returns live session state and the other returns a recorded trace with replay metadata.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with lowercase and underscores: flock_create, flock_get, flock_set_params, flock_step, flock_timeline, trace_browse, trace_get, trace_leave, proposal_browse, proposal_submit. Even the longer flock_create_from_trace fits the pattern without deviation.

Tool Count5/5

12 tools is well within the ideal range for a simulation playground. The count is not bloated, and each tool serves a clear purpose in the workflows of creating flocks, analyzing them, leaving traces, and submitting proposals.

Completeness5/5

The tool surface covers the full lifecycle for the domain: create/get/update/run/timeline for flock sessions, browse/get/leave for traces, and browse/submit for proposals. Discovery of existing sessions is possible through traces, and the playground_manifest provides orientation. No significant gaps or dead ends.

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